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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/429

    Title: 建立台灣地區瀝青路面網級養護管理系統-以公路局中壢工務段為例;The Network-Level Flexible Pavement Maintenance Management System in Taiwan - The Case Study of Chung-Li Engineering Section of Taiwan Highway Bureau
    Authors: 張家瑞;Jia-Ruey Chang
    Contributors: 土木工程研究所
    Keywords: 柔性路面;路面養護管理系統;模糊積分;模糊迴歸;遺傳演算法;鑑別分析;專家系統;AHP;TOPSIS;ELECTRE;灰色關聯分析;地理資訊系統;Flexible Pavement;Pavement Maintenance Managemen
    Date: 2001-01-19
    Issue Date: 2009-09-18 17:05:24 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 路面養護作業的重要性不亞於新建工程,台灣地區隨交通運輸需求急遽成長,道路面積逐年擴大,導致養護經費亦逐年提高,依據現況建立一套有效且適於國內實情之路面養護管理系統實為當務之急。本研究依據台灣地區柔性路面現況與環境特性需求,建立適合國內實用之路網層級路面養護管理系統。 研究針對交通部公路局中壢工務段轄區,以兩部國內首見儀器-自動道路分析儀(ARAN)與落錘式撓度儀(FWD)-週期性擷取路況資料,建置路面資料庫以發展各後續子系統。首先,利用模糊積分的非加法特性提昇模糊迴歸分析之結果,建立路面現況服務能力指標(PSI)模式,使其更為合理且符合實情,指標具備93.32%之預測能力,可容忍之指標極限值為2.19;另外,依據試驗道路FWD試驗選取路面中間點溫度作為路面有效溫度,建立之撓度數據校估模式暨MODULUS溫度校正分析與國外研究之結果間呈現一致性,撓度校估模式於不同研究間之差異僅13%,續以三相法建立結構強度指標(SSI)模式並採鑑別分析研訂指標門檻,正確提供實務單位於路面結構評估之參考;此外,依據實際專家知識與經驗,利用模糊關係推演建構一套適於國內養護制度之柔性路面維修工法選定專家系統,解決養護維修的決策問題並建議所需的養護維修經費;再者,選取PSI、SSI、交通量、重車比、養護維修成本四個評估屬性,利用四種分析方法交互印證所建立之路段養護優選決策分析模式的有效性;最後,整合上述成果,將各分析模式結合路面各項資料與路網圖形化資料,發展中文化的路面養護管理地理資訊系統,該系統整合路面管理的理論、方法和實務經驗,期能藉此於國內實際推廣路面管理系統,增進路面管理作業之效率及品質,除可作為主管機關引用與研發之參考外,並可提供實務單位確實可行的管理策略與分析工具。 Pavement maintenance can significantly influence pavement performance. Agencies in Taiwan have been faced with decreasing budgets of maintenance and increased road lengths and needs of transportation. The objective of this research is to establish a practical and localized network-level pavement maintenance management system for flexible pavement according to the actual conditions in Taiwan. Pavement condition data in the Chung-Li Engineering Section of Taiwan Highway Bureau collected periodically by ARAN and FWD were stored and used to establish a pavement database in this research. Present Serviceability Index (PSI) was developed by fuzzy integral incorporated with fuzzy regression. Fuzzy integral not only eliminates the shortcomings of conventional additive measure, but also improve the accuracy and objectiveness of fuzzy regression. The predictive ability of PSI model is 93.32% and the critical PSI value is 2.19. Besides, the AC mid-depth temperature was selected as the pavement effective temperature according to the FWD measurements on test road. The deflection correction model was developed using regression analysis with three prime affecting variables - pavement temperature, test load, and AC thickness. Comparisons of temperature correction factors with other studies find that although temperature correction factors for deflection were developed under different climatic conditions and pavement structures, the temperature correction factors differ, on average, by only approximately 13%. For overall structural evaluation, the Structural Strength Index (SSI) was established, with criteria to differentiate good or poor pavement structural condition. Furthermore, the selection of flexible pavement maintenance expert system was developed based on experts’ knowledge and experiences. This system can facilitate the maintenance decision and suggest the required cost. Moreover, the priority model of pavement maintenance was performed with four analytic methods for four evaluators - PSI, SSI, traffic volume, heavy-truck ratio, and maintenance cost. Four analytic methods were repeatedly used for cross checking and verifying the most reasonable assessment. Finally, integrating above outcomes to establish the geographic information system - pavement maintenance management system (GIS-PMMS). GIS-PMMS can be provided authorities as a reference for advanced exploration and can improve the efficiency and quality of pavement maintenance.
    Appears in Collections:[土木工程研究所] 博碩士論文

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